Turn Google Sheets into a Fully Interactive, Differential ACID Mutation Console for Apache Iceberg without Reverse ETL SaaS or Cloud Servers.
The hero infographic illustrates the complete, self-contain
Kanshi TANAIKE tanaikech
Turn Google Drive into an AI-Powered Lakehouse Vector Engine across Converted PDFs, Binary Images, and Text without Specialized Vector Databases.
The hero infographic visualizes the end-to-end paradigm shift enabling unified multimodal storage and sub-second semantic discovery across three synchronized operational zones:
Turn Google Sheets into a Petabyte Lakehouse with Sub-Second ACID Queries.
Google Sheets faces severe scalability bottlenecks when handling large enterprise datasets, including a strict 10-million cell limit, crippling CRUD latency, and Google Apps Script's execution and memory boundaries. This article presents IcebergApp, an open-source library bridging Google Workspace to Apache Iceberg lakehouses on Google Cloud. By utilizing BigQuery as a serverless query accelerator to execute predicate pushdown over Iceberg metadata, IcebergApp eliminates spreadsheet latency, ensures ACID transactions, and enables sub-second queries, time travel, and agentic AI integration directly from Google Apps Script.
Published Paper: Capturing Volcanic Lamb Waves and Blast Yields with Netatmo Weather Networks (ESS Open Archive)
Explosive volcanic eruptions generate powerful atmospheric Lamb waves—acoustic-gravity waves trapped in the planetary boundary layer that travel horizontally across the globe at sound speed. Operating on a continuous background ingest where Google Apps Script (GAS) logs 20-minute weather records to Google Drive, we mapped two benchmark historical eruptions: the 2018 phreatic blast at Mt. Kusatsu-Shirane and the 2018 magmatic explosion at Mt. Shinmoedake. We framed these events within first-principles continuum mechanics inside the Antigravity CLI environment powered by Gemini and the autonomous R&D framework tanaike-lab. Across 29,334 authentic Netatmo observation records in Japan, our framework
While Google Apps Script (GAS) is a powerful tool for Google Workspace automation, platform and computational constraints often limit its ability to handle advanced workloads. Gemini Managed Agents provide remote Linux sandboxes equipped with bash execution. This article introduces an architecture integrating GAS with a Linux sandbox to execute tasks beyond the capabilities of Apps Script alone. By streaming generated artifacts directly from within the Linux sandbox to Google Drive, this approach bypasses API payload limits, eliminates token overhead, and achieves high-throughput cloud automation.
Generative AI and autonomous agents do not obsolete Google Apps Script (GAS); they elevate it into an indispensable deterministic execution substrate. This article establishes an enterprise hybrid architecture dividing responsibilities between AI's probabilistic reasoning (the brain) and GAS's secure, zero-cost, event-driven execution (the nervous system). Through 12 production use cases—spanning MCP servers, deterministic guardrails, and hybrid batching—we formalize four foundational principles for engineering resilient, scalable Google Workspace automations.
Google Antigravity CLI users using Google OAuth face abrupt task failures when API quota hits 0%, while account switching triggers unrecoverable signature errors. Querying quota via LLM tool calls creates a paradox by consuming the very tokens being monitored. We resolve this with antigravity-cli-check-usage-plugin, a CLI Agent Hook running outside the LLM execution turn. Directly querying local Connect RPC endpoints, it monitors quota with zero token overhead and injects proactive warning banners when threshold limits are reached.
We announce the publication of our updated manuscript on ESS Open Archive, establishing the Unified LAIC-AGW Theory using ultra-dense IoT weather data. Executed on Antigravity CLI with Gemini 3.6 Flash using the autonomous R&D framework tanaike-lab, this project integrates 71,107 authentic Netatmo observation records with seismic moment tensors (
Gemini Spark, Google's 24/7 autonomous AI agent, seamlessly connects with Google Workspace. However, connecting to arbitrary external APIs requires extended integration. This article demonstrates how integrating Google Apps Script (GAS) as a Model Context Protocol (MCP) server or Webhook endpoint expands Gemini Spark's capabilities, enabling enterprise-grade workflow automation.
Gemini Spark was officially announced at Google I/O 2026 on May 19, 2026, and its service in Japan began on July 16, 2026. Ref Gemini Spark is Google's first always-on AI agent that runs continuously in the cloud 24/7, even when your PC is closed, to complete tasks on your behalf. Unlike traditional Q&A-style chat AIs, it can autonomously execute complex workflows across multiple Google applications. Its core functionalities are bu
System Enforces Order, AI Accelerates Logic: Driving Next-Generation R&D Through Human-AI Co-Creation
This case study presents the zero-to-one execution of an urban torrential rain fluid dynamics research project using Gemini and tanaike-lab on Antigravity CLI. By uniting system order, AI-accelerated logic, and clear human imagination, we demonstrate a next-generation R&D paradigm that draws new scientific realities out of the dark void.
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